Correlation Between Icon Financial and Baird Smallcap
Can any of the company-specific risk be diversified away by investing in both Icon Financial and Baird Smallcap at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Icon Financial and Baird Smallcap into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Icon Financial Fund and Baird Smallcap Value, you can compare the effects of market volatilities on Icon Financial and Baird Smallcap and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Icon Financial with a short position of Baird Smallcap. Check out your portfolio center. Please also check ongoing floating volatility patterns of Icon Financial and Baird Smallcap.
Diversification Opportunities for Icon Financial and Baird Smallcap
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Icon and Baird is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Icon Financial Fund and Baird Smallcap Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baird Smallcap Value and Icon Financial is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Icon Financial Fund are associated (or correlated) with Baird Smallcap. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baird Smallcap Value has no effect on the direction of Icon Financial i.e., Icon Financial and Baird Smallcap go up and down completely randomly.
Pair Corralation between Icon Financial and Baird Smallcap
Assuming the 90 days horizon Icon Financial Fund is expected to under-perform the Baird Smallcap. But the mutual fund apears to be less risky and, when comparing its historical volatility, Icon Financial Fund is 1.14 times less risky than Baird Smallcap. The mutual fund trades about -0.19 of its potential returns per unit of risk. The Baird Smallcap Value is currently generating about -0.15 of returns per unit of risk over similar time horizon. If you would invest 1,710 in Baird Smallcap Value on October 10, 2024 and sell it today you would lose (53.00) from holding Baird Smallcap Value or give up 3.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Icon Financial Fund vs. Baird Smallcap Value
Performance |
Timeline |
Icon Financial |
Baird Smallcap Value |
Icon Financial and Baird Smallcap Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Icon Financial and Baird Smallcap
The main advantage of trading using opposite Icon Financial and Baird Smallcap positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Icon Financial position performs unexpectedly, Baird Smallcap can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Baird Smallcap will offset losses from the drop in Baird Smallcap's long position.Icon Financial vs. Tiaa Cref Real Estate | Icon Financial vs. Nuveen Real Estate | Icon Financial vs. Real Estate Ultrasector | Icon Financial vs. Tiaa Cref Real Estate |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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